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Mixture theory
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#	Item
71	Multiple Source Adaptation and the R´enyi Divergence Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:32 Kullback–Leibler divergence Statistical theory Thermodynamics Closed and exact differential forms Multivariate normal distribution Divergence Mixture distribution Distribution Vector space Algebra Mathematics Statistics
72	Memory Bounded Inference in Topic Models Ryan Gomes GOMES @ VISION . CALTECH . EDU Dept. of Computation and Neural Systems, California Institute of Technology, Pasadena, CAUSA Max Welling Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-12 18:11:33 Estimation theory Expectation–maximization algorithm Missing data Mixture model Latent Dirichlet allocation Dirichlet process Time complexity Calculus of variations Statistics Theoretical computer science Statistical natural language processing
73	Label Switch in Mixture Model and Relabeling Algorithm Project for Reading Course Prepared by: Fanfu Xie, ZhengFei Chen Label Switch in Mixture Model and Relabeling Algorithm Add to Reading List Source URL: probability.ca Language: English - Date: 2009-08-30 09:25:51 Estimation theory Computational statistics Monte Carlo methods Bayesian statistics Mixture model Markov chain Monte Carlo Markov chain Mixture distribution Gibbs sampling Statistics Probability and statistics Markov models
74	Spatial-temporal association between ﬁne particulate matter and daily mortality 1 Jungsoon Choi, Montserrat Fuentes, and Brian J. Reich Abstract Fine particulate matter (PM2.5 ) is a mixture of pollutants that has been Add to Reading List Source URL: www4.stat.ncsu.edu Language: English - Date: 2007-11-15 16:40:56 Actuarial science Estimation theory Linear regression Nonparametric regression Air pollution Poisson regression Generalized linear model Spatial epidemiology Statistics Regression analysis Econometrics
75	ISSNDependent mixture models: clustering and borrowing information Antonio Lijoi Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2013-06-18 04:33:59 Probability Statistical models Statistical dependence Statistical theory Dirichlet process Exchangeable random variables Parametric model Independence Probability space Statistics Probability theory Probability and statistics
76	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
77	GENERAL MULTILELEVEL MODELING WITH SAMPLING WEIGHTS Tihomir Asparouhov Muthen & Muthen Los Angeles, California, USA Add to Reading List Source URL: www.statmodel.com Language: English - Date: 2008-08-13 12:42:34 Regression analysis Machine learning Statistical inference Sampling Linear regression Cluster sampling Mixture model Sample size determination Estimator Statistics Estimation theory Statistical models
78	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
79	A New Approach to Probabilistic Programming Inference Frank Wood Department of Engineering University of Oxford Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2015-06-02 07:22:01 Statistical theory Bayesian statistics Statistical inference Hidden Markov model Importance sampling Normal distribution Mixture model Bayesian inference Joint probability distribution Statistics Probability and statistics Monte Carlo methods
80	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2005-05-21 12:28:41 Estimation theory Maximum likelihood Normal distribution Gaussian function Likelihood function Likelihood-ratio test Poisson distribution Sufficient statistic Mixture model Statistics Statistical theory Bayesian statistics

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